Article

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank

2020-09-23

Abstract excerpt

<h4>Objective</h4> The objective was to develop a fully automated algorithm for abdominal fat segmentation and deploy this method at scale and associated with diagnoses in an academic biobank. <h4>Materials and Methods</h4> We built a fully automated image curation and labeling technique using deep learning and distributive computing to identify subcutaneous and visceral abdominal fat compartments from 47,587 CT s...

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Literature Corpus work: ab475afa-24be-5097-a289-f373c74938ed
DOI: 10.1101/2020.09.22.20199844

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